Google nissa
Geekbench ML Score
11414
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 08 2024 10:29 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Google nissa |
| Model ID | Google nissa |
| Motherboard | joxer |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 0 MHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 6.84 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
0% |
5985
1.12 KIPS |
|
|
Image Classification (F16)
|
0% |
7199
1.35 KIPS |
|
|
Image Classification (I8)
|
0% |
6932
1.30 KIPS |
|
|
Image Segmentation (F32)
|
73% |
14895
248.8 IPS |
|
|
Image Segmentation (F16)
|
73% |
14668
245.0 IPS |
|
|
Image Segmentation (I8)
|
73% |
2197
36.7 IPS |
|
|
Pose Estimation (F32)
|
0% |
402305
487.2 IPS |
|
|
Pose Estimation (F16)
|
0% |
516899
625.9 IPS |
|
|
Pose Estimation (I8)
|
0% |
271339
328.6 IPS |
|
|
Object Detection (F32)
|
0% |
3658
273.1 IPS |
|
|
Object Detection (F16)
|
0% |
3868
288.8 IPS |
|
|
Object Detection (I8)
|
0% |
3365
251.3 IPS |
|
|
Face Detection (F32)
|
0% |
31270
371.8 IPS |
|
|
Face Detection (F16)
|
0% |
31067
369.4 IPS |
|
|
Face Detection (I8)
|
0% |
14228
169.2 IPS |
|
|
Depth Estimation (F32)
|
37% |
102901
798.0 IPS |
|
|
Depth Estimation (F16)
|
37% |
125520
973.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
117988
915.0 IPS |
|
|
Style Transfer (F32)
|
33% |
651569
857.1 IPS |
|
|
Style Transfer (F16)
|
33% |
666170
876.3 IPS |
|
|
Style Transfer (I8)
|
33% |
300440
395.2 IPS |
|
|
Image Super-Resolution (F32)
|
0% |
39312
1.40 KIPS |
|
|
Image Super-Resolution (F16)
|
0% |
44971
1.61 KIPS |
|
|
Image Super-Resolution (I8)
|
0% |
16474
588.3 IPS |
|
|
Text Classification (F32)
|
100% |
106
151.7 IPS |
|
|
Text Classification (F16)
|
100% |
105
150.6 IPS |
|
|
Text Classification (I8)
|
92% |
45
64.4 IPS |
|
|
Machine Translation (F32)
|
100% |
218
4.02 IPS |
|
|
Machine Translation (F16)
|
100% |
199
3.66 IPS |
|
|
Machine Translation (I8)
|
64% |
79
1.45 IPS |
